问HN：你认为语言的发展会停滞不前吗？
我刚刚在思考新语言是如何逐渐被接受的，同时想到基于大语言模型（LLM）的编码可能在某种程度上使这一过程停滞不前，因此新语言（或语言特性）不会被采纳。
没有大量的训练语料库，智能助手/自动补全工具将很难知道该怎么做（或者可能自信地做错事情），因此即使新语言具有很好的特性，人们也会犹豫是否采用它。
或者，也许我们将看到每个项目都有大量新语言的出现，因为这是一种保持领先于机器并确保人类在编写代码的方式？
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I was just thinking about how new languages slowly build adoption and had the thought that LLM based coding may have basically frozen things in time so new languages (or language features) won’t be adopted.<p>Without a large training corpus, agents/autocomplete assistants will struggle knowing what to do (or will just confidently do the wrong thing), so people will hesitate to adopt a new language even if it has great features.<p>Or maybe we’re going to see an explosion of new languages for every project because it’s one way to stay ahead of the machines and make sure that humans are writing your code?